Literature DB >> 18812516

A search for conserved sequences in coding regions reveals that the let-7 microRNA targets Dicer within its coding sequence.

Joshua J Forman1, Aster Legesse-Miller, Hilary A Coller.   

Abstract

Recognition sites for microRNAs (miRNAs) have been reported to be located in the 3' untranslated regions of transcripts. In a computational screen for highly conserved motifs within coding regions, we found an excess of sequences conserved at the nucleotide level within coding regions in the human genome, the highest scoring of which are enriched for miRNA target sequences. To validate our results, we experimentally demonstrated that the let-7 miRNA directly targets the miRNA-processing enzyme Dicer within its coding sequence, thus establishing a mechanism for a miRNA/Dicer autoregulatory negative feedback loop. We also found computational evidence to suggest that miRNA target sites in coding regions and 3' UTRs may differ in mechanism. This work demonstrates that miRNAs can directly target transcripts within their coding region in animals, and it suggests that a complete search for the regulatory targets of miRNAs should be expanded to include genes with recognition sites within their coding regions. As more genomes are sequenced, the methodological approach that we used for identifying motifs with high sequence conservation will be increasingly valuable for detecting functional sequence motifs within coding regions.

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Year:  2008        PMID: 18812516      PMCID: PMC2567461          DOI: 10.1073/pnas.0803230105

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  32 in total

1.  The microRNA Registry.

Authors:  Sam Griffiths-Jones
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

2.  The UCSC Genome Browser Database.

Authors:  D Karolchik; R Baertsch; M Diekhans; T S Furey; A Hinrichs; Y T Lu; K M Roskin; M Schwartz; C W Sugnet; D J Thomas; R J Weber; D Haussler; W J Kent
Journal:  Nucleic Acids Res       Date:  2003-01-01       Impact factor: 16.971

3.  Conserved seed pairing, often flanked by adenosines, indicates that thousands of human genes are microRNA targets.

Authors:  Benjamin P Lewis; Christopher B Burge; David P Bartel
Journal:  Cell       Date:  2005-01-14       Impact factor: 41.582

4.  The colorectal microRNAome.

Authors:  Jordan M Cummins; Yiping He; Rebecca J Leary; Ray Pagliarini; Luis A Diaz; Tobias Sjoblom; Omer Barad; Zvi Bentwich; Anna E Szafranska; Emmanuel Labourier; Christopher K Raymond; Brian S Roberts; Hartmut Juhl; Kenneth W Kinzler; Bert Vogelstein; Victor E Velculescu
Journal:  Proc Natl Acad Sci U S A       Date:  2006-02-27       Impact factor: 11.205

Review 5.  miRBase: the microRNA sequence database.

Authors:  Sam Griffiths-Jones
Journal:  Methods Mol Biol       Date:  2006

6.  Discovery of functional elements in 12 Drosophila genomes using evolutionary signatures.

Authors:  Alexander Stark; Michael F Lin; Pouya Kheradpour; Jakob S Pedersen; Leopold Parts; Joseph W Carlson; Madeline A Crosby; Matthew D Rasmussen; Sushmita Roy; Ameya N Deoras; J Graham Ruby; Julius Brennecke; Emily Hodges; Angie S Hinrichs; Anat Caspi; Benedict Paten; Seung-Won Park; Mira V Han; Morgan L Maeder; Benjamin J Polansky; Bryanne E Robson; Stein Aerts; Jacques van Helden; Bassem Hassan; Donald G Gilbert; Deborah A Eastman; Michael Rice; Michael Weir; Matthew W Hahn; Yongkyu Park; Colin N Dewey; Lior Pachter; W James Kent; David Haussler; Eric C Lai; David P Bartel; Gregory J Hannon; Thomas C Kaufman; Michael B Eisen; Andrew G Clark; Douglas Smith; Susan E Celniker; William M Gelbart; Manolis Kellis
Journal:  Nature       Date:  2007-11-08       Impact factor: 49.962

7.  Target mRNAs are repressed as efficiently by microRNA-binding sites in the 5' UTR as in the 3' UTR.

Authors:  J Robin Lytle; Therese A Yario; Joan A Steitz
Journal:  Proc Natl Acad Sci U S A       Date:  2007-05-29       Impact factor: 11.205

8.  RAS is regulated by the let-7 microRNA family.

Authors:  Steven M Johnson; Helge Grosshans; Jaclyn Shingara; Mike Byrom; Rich Jarvis; Angie Cheng; Emmanuel Labourier; Kristy L Reinert; David Brown; Frank J Slack
Journal:  Cell       Date:  2005-03-11       Impact factor: 41.582

9.  Systematic discovery of regulatory motifs in human promoters and 3' UTRs by comparison of several mammals.

Authors:  Xiaohui Xie; Jun Lu; E J Kulbokas; Todd R Golub; Vamsi Mootha; Kerstin Lindblad-Toh; Eric S Lander; Manolis Kellis
Journal:  Nature       Date:  2005-02-27       Impact factor: 49.962

10.  A machine learning strategy to identify candidate binding sites in human protein-coding sequence.

Authors:  Thomas Down; Bernard Leong; Tim J P Hubbard
Journal:  BMC Bioinformatics       Date:  2006-09-26       Impact factor: 3.169

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  289 in total

Review 1.  MicroRNAs, wild-type and mutant p53: more questions than answers.

Authors:  Matthew Jones; Ashish Lal
Journal:  RNA Biol       Date:  2012-06-01       Impact factor: 4.652

2.  The potential role of microRNAs in regulating gonadal sex differentiation in the chicken embryo.

Authors:  Andrew D Cutting; Stephanie C Bannister; Tim J Doran; Andrew H Sinclair; Mark V L Tizard; Craig A Smith
Journal:  Chromosome Res       Date:  2012-01       Impact factor: 5.239

3.  Roles of microRNA-29a in the antifibrotic effect of farnesoid X receptor in hepatic stellate cells.

Authors:  Jiang Li; Yifei Zhang; Ramalinga Kuruba; Xiang Gao; Chandrashekhar R Gandhi; Wen Xie; Song Li
Journal:  Mol Pharmacol       Date:  2011-04-21       Impact factor: 4.436

Review 4.  Evolution of microRNA diversity and regulation in animals.

Authors:  Eugene Berezikov
Journal:  Nat Rev Genet       Date:  2011-11-18       Impact factor: 53.242

5.  miR-484 regulates mitochondrial network through targeting Fis1.

Authors:  Kun Wang; Bo Long; Jian-Qin Jiao; Jian-Xun Wang; Jin-Ping Liu; Qian Li; Pei-Feng Li
Journal:  Nat Commun       Date:  2012-04-17       Impact factor: 14.919

6.  A crossroad of microRNAs and immediate early genes (IEGs) encoding oncogenic transcription factors in breast cancer.

Authors:  Aldema Sas-Chen; Roi Avraham; Yosef Yarden
Journal:  J Mammary Gland Biol Neoplasia       Date:  2012-02-12       Impact factor: 2.673

7.  Overlapping codes within protein-coding sequences.

Authors:  Shalev Itzkovitz; Eran Hodis; Eran Segal
Journal:  Genome Res       Date:  2010-09-14       Impact factor: 9.043

8.  Conserved microRNA targeting in Drosophila is as widespread in coding regions as in 3'UTRs.

Authors:  Michael Schnall-Levin; Yong Zhao; Norbert Perrimon; Bonnie Berger
Journal:  Proc Natl Acad Sci U S A       Date:  2010-08-20       Impact factor: 11.205

Review 9.  Emergence of Circulating MicroRNAs in Breast Cancer as Diagnostic and Therapeutic Efficacy Biomarkers.

Authors:  Vaishali Aggarwal; Kumari Priyanka; Hardeep Singh Tuli
Journal:  Mol Diagn Ther       Date:  2020-04       Impact factor: 4.074

10.  Allogeneic T cell responses are regulated by a specific miRNA-mRNA network.

Authors:  Yaping Sun; Isao Tawara; Meng Zhao; Zhaohui S Qin; Tomomi Toubai; Nathan Mathewson; Hiroya Tamaki; Evelyn Nieves; Arul M Chinnaiyan; Pavan Reddy
Journal:  J Clin Invest       Date:  2013-11       Impact factor: 14.808

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